Our approach
Bring system engineering and ISHM methodologies to implement predictive maintenance into high value assets. Planning maintenance parameters which needs to be captured through sensors in real time, processing on cloud platform, developing mobile applications (apps) to give information, warnings to make decisions by adapting analytical methods. predictive analytics uses regression analysis, modeling, neural network and simulation algorithms taking into account multiple independent variables to determine the likelihood of an event happening in the future.